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Dynamic Adjustment of the Motivation Degree in an Action Selection Mechanism | Carlos Gershenson
; Pedro Pablo Gonzalez
; | Date: |
27 Nov 2002 | Subject: | Artificial Intelligence ACM-class: I.2.6 | cs.AI | Abstract: | This paper presents a model for dynamic adjustment of the motivation degree, using a reinforcement learning approach, in an action selection mechanism previously developed by the authors. The learning takes place in the modification of a parameter of the model of combination of internal and external stimuli. Experiments that show the claimed properties are presented, using a VR simulation developed for such purposes. The importance of adaptation by learning in action selection is also discussed. | Source: | arXiv, cs.AI/0211038 | Services: | Forum | Review | PDF | Favorites |
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